Caleb Robinson
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
20
Venues
9
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
20 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Machine Learning for Sustainable Rice Production: Region-Scale Monitoring of Water-Saving Practices in Punjab, India. | Ando Shah, Rajveer Singh, Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Negar Tafti, Stephen A. Wood, Rahul Dodhia, Juan M. Lavista Ferres |
| 2026 | WACV | Satellite-Based Detection of Looted Archaeological Sites Using Machine Learning. | Girmaw Abebe Tadesse, Titien Bartette, Andrew Hassanali, Allen Kim, Jonathan Chemla, Andrew Zolli, Yves Ubelmann, Caleb Robinson, Inbal Becker-Reshef, Juan M. Lavista Ferres |
| 2025 | AAAI | Fields of The World: A Machine Learning Benchmark Dataset for Global Agricultural Field Boundary Segmentation. | Hannah Kerner, Snehal Chaudhari, Aninda Ghosh, Caleb Robinson, Adeel Ahmad, Eddie Choi, Nathan Jacobs, Chris Holmes, Matthias Mohr, Rahul Dodhia, Juan M. Lavista Ferres, Jennifer Marcus |
| 2025 | AAAI | SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery. | Konstantin Klemmer, Esther Rolf, Caleb Robinson, Lester Mackey, Marc Ruwurm |
| 2025 | CVPR | Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation. | Burak Ekim, Girmaw Abebe Tadesse, Caleb Robinson, Gilles Quentin Hacheme, Michael Schmitt, Rahul Dodhia, Juan M. Lavista Ferres |
| 2025 | ICML | Where are the Whales: A Human-in-the-loop Detection Method for Identifying Whales in High-resolution Satellite Imagery. | Caleb Robinson, Kimberly T. Goetz, Christin B. Khan, Meredith Sackett, Kathleen Leonard, Rahul Dodhia, Juan M. Lavista Ferres |
| 2025 | ICML | Optimizing Cloud-to-GPU Throughput for Deep Learning With Earth Observation Data. | Akram Zaytar, Caleb Robinson, Girmaw Abebe Tadesse, Gilles Quentin Hacheme, Tammy Glazer, Anthony Ortiz, Rahul Dodhia, Juan M. Lavista Ferres |
| 2024 | CVPR | Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters. | Isaac Corley, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad |
| 2024 | ICML | Position: Mission Critical - Satellite Data is a Distinct Modality in Machine Learning. | Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner |
| 2024 | IGARSS | Weak Labeling for Cropland Mapping in Africa. | Gilles Quentin Hacheme, Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Stephen A. Wood |
| 2022 | CVPR | Fast building segmentation from satellite imagery and few local labels. | Caleb Robinson, Anthony Ortiz, Hogeun Park, Nancy Lozano-Gracia, Jon Kher Kaw, Tina Sederholm, Rahul Dodhia, Juan M. Lavista Ferres |
| 2022 | ICDM | On the Deployment of Post-Disaster Building Damage Assessment Tools using Satellite Imagery: A Deep Learning Approach. | Shahrzad Gholami, Caleb Robinson, Anthony Ortiz, Siyu Yang, Jacopo Margutti, Cameron Birge, Rahul Dodhia, Juan M. Lavista Ferres |
| 2022 | UAI | Resolving label uncertainty with implicit posterior models. | Esther Rolf, Nikolay Malkin, Alexandros Graikos, Ana Jojic, Caleb Robinson, Nebojsa Jojic |
| 2021 | AIES | Becoming Good at AI for Good. | Meghana Kshirsagar, Caleb Robinson, Siyu Yang, Shahrzad Gholami, Ivan S. Klyuzhin, Sumit Mukherjee, Md Nasir, Anthony Ortiz, Felipe Oviedo, Darren Tanner, Anusua Trivedi, Yixi Xu, Ming Zhong, Bistra Dilkina, Rahul Dodhia, Juan M. Lavista Ferres |
| 2021 | IGARSS | From Local Algorithms to Global Results: Human-Machine Collaboration for Robust Analysis of Geographically Diverse Imagery. | Nebojsa Jojic, Nikolay Malkin, Caleb Robinson, Anthony Ortiz |
| 2020 | AAAI | Human-Machine Collaboration for Fast Land Cover Mapping. | Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic |
| 2020 | CVPR | Local Context Normalization: Revisiting Local Normalization. | Anthony Ortiz, Caleb Robinson, Dan Morris, Olac Fuentes, Christopher Kiekintveld, Md Mahmudulla Hassan, Nebojsa Jojic |
| 2020 | IGARSS | Weakly Supervised Semantic Segmentation in the 2020 IEEE GRSS Data Fusion Contest. | Caleb Robinson, Kolya Malkin, Lucas Hu, Bistra Dilkina, Nebojsa Jojic |
| 2019 | CVPR | Large Scale High-Resolution Land Cover Mapping With Multi-Resolution Data. | Caleb Robinson, Le Hou, Kolya Malkin, Rachel Soobitsky, Jacob Czawlytko, Bistra Dilkina, Nebojsa Jojic |
| 2019 | ICLR | Label super-resolution networks. | Kolya Malkin, Caleb Robinson, Le Hou, Rachel Soobitsky, Jacob Czawlytko, Dimitris Samaras, Joel H. Saltz, Lucas Joppa, Nebojsa Jojic |